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RepeatedHighDim (version 2.3.0)

Methods for High-Dimensional Repeated Measures Data

Description

A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.

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Version

Install

install.packages('RepeatedHighDim')

Monthly Downloads

12,787

Version

2.3.0

License

GPL (>= 3)

Maintainer

Klaus Jung

Last Published

April 25th, 2024

Functions in RepeatedHighDim (2.3.0)

netRNA

netRNA:Network meta-analysis for gene expression data

GlobTestMissing

Detection of global group effect

rmvbinary_EP

Simulating correlated binary variables using the algorithm by Emrich and Piedmonte (1991)

TestStatSimple

Calculates test statistic for RHighDim

loop

Calculates the fence and the loop

iter_matrix

Genetic algorithm for generating correlated binary data

rmvbinary_QA

Simulating correlated binary variables using the algorithm by Qaqish (2003)

gridfun

Specifies grid for the calculation of the halfspace location depths

hldepth

Calculates the halfspace location depth

rho_bounds

Calculate lower and upper the bounds for pairwise correlations

sequence_probs

Calculation of probabilities for binary sequences

start_matrix

Setup of the start matrix

fc_plot

Volcano plot of adjusted confidence intervals

gem

Plots a gemstone to an interactive graphics device

summary_RHD

Summary of RHighDim function

GA_diagplot

Diagnostic plot for comparison of two correlation matrices.

RHighDim

Detection of global group effect

fc_ci

Calculation of adjusted confidence intervals

RepeatedHighDim

RepeatedHighDim Package

depmed

Calculates the depth median.

TestStatSP

Calculates test statistic for RHighDim

bag

Calculates the bag

check_limma

Check for 'limma' availability